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run_producthunt_users_comments

Retrieve comments posted by a Product Hunt user from their activity feed across all pages, up to 250 records, by username or profile URL. Use it to gather user feedback for analysis or export.

Instructions

Comments of a Product Hunt user, taken from their activity feed (comments filter), all pages. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesUsername or Product Hunt profile URL. e.g. kevin
max_itemsNoMax items (up to 250)
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does disclose useful behavior: sourcing from the comments-filter activity feed, fetching across all pages, and a '1 point per returned record' cost. It omits auth requirements, rate limits, and error behavior, so it only partially covers the non-annotated burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight clauses with the resource front-loaded and the cost note at the end; there is essentially no filler. It could be marginally sharper with an explicit scope statement, but it is well-sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description should ideally hint at the shape of returned comment records; it only says comments are returned 'all pages' with per-record cost. Adequate for a straightforward scraper, but the record structure is left entirely unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (user, max_items, start_page all documented including formats and bounds). The description adds no parameter-level meaning beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (comments of a Product Hunt user) plus its provenance (activity feed, comments filter). This cleanly distinguishes it from siblings like run_producthunt_users_upvotes, run_producthunt_users_launches, and run_producthunt_users_stacks, so an agent can pick it without opening another schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the resource name and the activity-feed source, but the description never states when to choose this over its Product Hunt user siblings or what prerequisites exist. No explicit when/when-not guidance or named alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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